AI developer - data generation

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Developer - Data Generation based in Canada. This role offers the opportunity to apply artificial intelligence and machine learning to the generation of image-based datasets within the life sciences and pharmaceutical industry. You will develop and refine AI-driven approaches for creating datasets that reproduce the characteristics of real-world domain data. Working as an independent contributor, you will collaborate closely with developers, UI/UX designers, product, business, and architecture teams. The position combines hands-on machine learning development, computer vision, data analysis, and software engineering. You will contribute across the lifecycle of models and datasets, from implementation and evaluation to refinement and production-ready delivery. Success requires technical depth, creativity, adaptability, strong communication, and a genuine interest in learning emerging technologies and techniques.

Independently design, develop, and refine AI and machine learning solutions for generating image-based datasets, with limited day-to-day supervision. Develop an understanding of domain-specific datasets and their characteristics in order to generate new datasets with comparable properties. Implement, evaluate, and improve machine learning and deep learning models for image and vision-related applications. Work with existing codebases and models, identifying opportunities to improve performance, quality, maintainability, and reliability. Create, manipulate, analyze, and validate datasets originating from multiple sources, including large-scale datasets where applicable. Apply machine learning techniques to solve practical problems and translate business requirements into effective technical solutions. Produce clean, reusable, maintainable, and production-ready code. Communicate project progress, technical findings, challenges, and outcomes clearly to both technical and non-technical audiences. Prepare and deliver progress updates and presentations to peers, management, and other stakeholders. Participate in peer reviews, share technical knowledge and ideas, and contribute actively to collaborative problem-solving. Work closely with multidisciplinary teams across software development, UI/UX, product, business, and architecture. Requirements Master’s degree or equivalent professional experience in a relevant engineering, computer science, science, or technical discipline. 3+ years of industry experience working on multidisciplinary, image-based projects in engineering or science environments. Strong theoretical and practical experience in machine learning, including experience implementing and evaluating machine learning models. Demonstrated experience applying deep neural networks to computer vision or other image-based problems. Experience understanding and translating business team requirements into technical solutions. Proven experience creating, managing, manipulating, and analyzing datasets, preferably large-scale datasets. Ability to work with and derive insights from data originating from different sources. Strong software engineering skills, including the ability to improve existing code and produce clean, reusable, production-ready solutions. Proficiency in Python and familiarity with deep learning and data science tools and frameworks such as Caffe, Keras, TensorFlow, PyTorch, NumPy, and scikit-learn. Excellent written, verbal, and interpersonal communication skills. Collaborative mindset with a willingness to participate in peer reviews, share knowledge, and support team success. Comfortable working in uncertain and evolving environments while remaining positive, persistent, organized, disciplined, and independent. Strong interest in self-directed learning and keeping up with new technologies, algorithms, and machine learning techniques. Benefits Permanent, full-time employment. Competitive base salary plus bonus. Comprehensive insurance coverage. Flexible working hours. Dynamic and collaborative company culture. Opportunities for career development and professional growth. Remote position based in Canada.

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